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An open source safety layer for AI agent actions

An open source safety layer for AI agent actions is a skill AI agent for To add safety controls that monitor and restrict AI agent actions to prevent dangerous or erroneous behavior. Pricing: Open source. As of 2026-09-25, KanonAgent records 4 upvotes. First indexed by KanonAgent on 2026-09-15.
An open-source safety layer to monitor and constrain AI agent actions for safer execution.
4 upvotes
Tracked by Kanon since Sep 15, 2026
no signal yet
status
24/100
momentum · conf 0.78
10d
tracked since 2026-09-15
5
evidence records

No signal event on file yet — status is unknown, not "quiet".

📈 Timelinewhat changed, and when
🔎 Known / Unknown 12 of 23 fields unknown
Machine-callable— unknown —
Open source1 inferred 1 quote(s)
Self-hostable1 inferred —
Bring your own key— unknown —
Autonomy level2 inferred 1 quote(s)
Pricing model— unknown —
Integrationsmcp,langgraph,openai-agents,opentelemetr inferred 1 quote(s)

“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.

🤖 Agent teardown · skill
Job to be doneTo add safety controls that monitor and restrict AI agent actions to prevent dangerous or erroneous behavior.
AutonomyL2 · tool-calling(evidence: "tool-calling…")
Who it is forAI agent developers and safety researchers focused on responsible AI deployment.
Prerequisitesopen source · self-hostable
Integrationsmcp · langgraph · openai-agents · opentelemetry
PricingOpen source
Traction · why it is risingIncreasing concerns around AI safety and the need for standardized safeguards are accelerating adoption of open safety layers.
Why it matters

It offers essential infrastructure for trustworthy AI agent systems, enabling safer scaling of autonomous agents.

Evidence quotesverbatim, from the product’s own materials

“public GitHub repository (README fetched)”— structural
“tool-calling”— topics
“agent-control-standard,agent-security,agentic-ai,ai-agents,ai-safety,audit-log,human-in-the-loop,langgraph,llm,llm-security,mcp,mcp-server,model-context-protoco”— topics
“Runs in production on a single file, or on Postgres across hosts. Apache-2.0.”— description
“mcp-server, model-context-protocol”— topics
Signal source: Show HN
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FAQ

What is An open source safety layer for AI agent actions?

An open-source safety layer to monitor and constrain AI agent actions for safer execution.

What does An open source safety layer for AI agent actions do?

To add safety controls that monitor and restrict AI agent actions to prevent dangerous or erroneous behavior.

Why does An open source safety layer for AI agent actions matter?

It offers essential infrastructure for trustworthy AI agent systems, enabling safer scaling of autonomous agents.

How much does An open source safety layer for AI agent actions cost?

Open source

Is An open source safety layer for AI agent actions open source?

Yes — An open source safety layer for AI agent actions is open source.

Can I self-host An open source safety layer for AI agent actions?

Yes — An open source safety layer for AI agent actions can be self-hosted.

What does An open source safety layer for AI agent actions integrate with?

mcp,langgraph,openai-agents,opentelemetry

How popular is An open source safety layer for AI agent actions?

As tracked by KanonAgent: 4 upvotes (first indexed 2026-09-15).

What are the best An open source safety layer for AI agent actions alternatives?

Similar AI agents tracked by KanonAgent: open-design, Agent-Reach, deer-flow, ruflo, career-ops, archify.

An open source safety layer for AI agent actions alternatives — similar AI agents

open-designAgent-Reachdeer-flowruflocareer-opsarchify

Where this fits — browse the same shelf

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